AI Introduction to the classic books -pytho comprehensive introductory mathematics + + + depth learning machine learning (tensorflow) disposable packaging

Baidu network disk: https://pan.baidu.com/s/1SShwxxBIHB_rynF_jUjApA

A content list:

1..python entry books:
        python based tutorial .pdf
        python language and its application .pdf
        python language portal .pdf
        like a computer scientist Think python 2nd Edition .pdf

        Note: to find yourself an intensive reading, reading other aid, there will be different results.
    

2. Mathematics:
        Book .pdf on advanced mathematics, Tongji sixth edition of the book // contents must understand the basic requirements, understand the meaning, although not back to the derivation, but being able to understand     
        Tongji advanced mathematics sixth edition to the next volume .pdf // the least squares method for the sector (including least squares), before personally feel content must be understood, in particular, three-dimensional vector space // part, is to understand the basic linear algebra, linear algebra is because the vector into the higher dimensions result.
        Higher Mathematics Sixth Edition Tongji exercises full solution .pdf // If you study section, then this is very important, whether the person can skip
        
        linear algebra should learn this .pdf // grasp the basic content, as those are the basic content, degree of your mother after hold their own
        linear algebra (English) .pdf            
        
        probability theory // grasp the basic content, to hold their own
        
        beauty .pdf mathematics // interest-type books
        on statistical learning methods .pdf // interest in reading type
        
        Note: the above math books do not have to see all the chapters, but the fundamental part of AI associated with must-see.
        
  

3. Machine Learning + deep learning (mainly based on tensorflow framework) 
        TensorFlow combat Huangwen Jian (complete) .pdf                       
        
        TensorFlow machine learning practical guide (Intelligent Systems and Technology Series) .pdf // for books read in conjunction with other tensorflow
        
        TensorFlow practice-oriented machine intelligence (intelligent systems and technology Series)
.pdf // with type Extensive        
        
        Tensorflow combat Google deep learning framework .pdf // Duokanjibian time is ideal for entry           
        
        machine learning _ Zhou Zhihua .pdf // can fully understand the machine learning, difficult, Cluster start learning machine

                                                                               // get started deep learning, then go back and look             
        
        deep learning 0.5-beta.pdf // depth study holy book, the first two parts I read many times, beginning bite the bullet and see, read

                                                                              // After a few times you will feel so it is, of course, the premise is have to go up a mathematical, if even the basic

                                                                              // mathematical symbols do not remember, then it is basically gone.
        
        Image processing, analysis and machine vision inspection type .pdf // read (according to their own needs to selectively read)
        
        21 items Fun depth study: Detailed .pdf tensorflow implement the project based // tensorflow perfect set, very good, which This book is no free version,

                                                                                                    // online resources to be paid

        Deep-Learning-21-Examples- source .zip // 21 items Fun depth study of the source code, precious one can imagine
                

Second, the idea of ​​learning more books:

First, the way artificial intelligence, machine learning, deep learning of the relationship: artificial intelligence, machine learning contains include deep learning.

1. Browse All in all books, first know what, if you do not view myself, even if I tell you the general situation, there is no use, or to your own personal experience  

2. After browsing, the hearts of everyone should have a rough idea, the next step is to select a few have been intensive, such as reading the content of the foundations of mathematics, which is the basis for understanding mathematical formulas, with the mathematical basis after the start in but the direction of machine learning are too big, too much content, it is recommended to start the machine to start learning a subset of deep learning, because learning is one of the depth direction of machine learning, when learning a certain depth of understanding, come back over to see when the machine learning you will not feel the same.
        
3. The need for intensive reading the books, I recommend Duokanjibian, in the end Duokanjibian appropriate, by their own measure, general standard is that when your mind there is a feeling that was it, you can enter part of the project code of practice , or else always attracted me, the code in the book has its own shining knock, basically most of the questions are on troubleshooting. Of course, as the code can you practice ahead of time, may have their own judgment, I am here just to suggestions.
    

4. When the code book are practiced, Congratulations, you've got a certain level, and then you can go online to find items (such as chat robot, picture restoration), make changes to achieve.
      

5. After the previous step is completed, you can find their own independent to realize a project, and specific projects please degree of your mother
        
        , of course, if allowed, it is best to purchase the appropriate AI video lessons, and then with the study, believe me, do not rely solely video, and do not rely solely on books, good with each other, and will be more effective, of course, I recommend that you book as an introduction to the beginning of better late with the video, because less time reading, and the video will let you from the books learning content supplement and deepen the understanding, of course, there is one thing the network said, the learning process you do not understand nouns (nouns literacy is important) or at Gordian, be sure to degree of your mother, this is very important.
            

        Believe me, if you really insist 2-4 months, according to the above process, there will be a completely different feeling, and by then you should have a beginning, in fact, if you have previous experience in the development of appropriate words, not entry difficult, if you are able to complete several projects, I think we can go try to find a job, find a job soon, based on the springboard, you can go further, of course, the first job is to define pay very much, this should be see the line price and your own abilities and expectations, it is recommended not to think too much, but should see the future development when the access door.

        Note that we are talking here of artificial intelligence application development, and java application development belong to the same level, rather than to achieve the development of the underlying frame structure, which most people can not get, if it is related to the framework content, the content of the above books also far enough, such as java development, java development is to learn to use java-related framework for application logic to achieve, develop application projects, here summarize the characteristics of various types of development.
        
        · Bottom-driven development: Logical Framework + + hardware
        · java server development such as: Logical Framework +
        · Artificial Intelligence: all kinds of frameworks (such as tensorflow) + mathematics + // logic of mathematics is a big threshold

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Origin blog.51cto.com/12951022/2466792